Discover stanford-futuredata/momentsketch Open Source project

MacroBase: A Search Engine for Fast Data

2,998

macrobase

Automated Evaluation of RAG Systems

661

ARES

Accelerating network inference over video

460

noscope

Sparser: Raw Filtering for Faster Analytics over Raw Data

434

sparser

427

dawn-bench-entries

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

ASAP: Prioritizing Attention via Time Series Smoothing

257

ASAP

FrugalGPT: better quality and lower cost for LLM applications

184

FrugalGPT

Simple baselines for "Learned Indexes"

167

index-baselines

HTML

156

FAST

End-to-end earthquake detection pipeline via efficient time series similarity search

Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020

144

gavel

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

124

equivariant-transformers

stk

selection-via-proxy

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

sinkhorn-label-allocation

readinggroup

cs145-2017

Willump Is a Low-Latency Useful Machine learning Platform.

Willump

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

Baleen

msketch

Moments Sketch Code

A runtime implementation of data-parallel actors.

Uniserve

Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).

wmsketch

dawn-bench-models

Its BlazeIt because it's blazing fast

blazeit

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search

optimus-maximus

state-of-the-art search over vector embeddings and structured data (SIGMOD '24)

ACORN

2AD analysis prototype and logs from sample applications

acidrain

lit-code

Code for LIT, ICML 2019

Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021

POP

loa

omg

pytorch-distributed

Fork of diux-dev/imagenet18

Semantic Indexes for Machine Learning-based Queries over Unstructured Data (SIGMOD 2022)

tasti

Student files for CS245 Programming Assignment 1: In-memory data layout

cs245-as1

A new approach for bringing heterogeneous computing to existing libraries and workloads.

offload-annotations

Willump Is a Low-Latency Useful Machine learning Platform.

Willump-Simple

Durable transactions assignment for CS245

cs245-as3-public

Accelerating Aggregation Queries on Unstructured Streams of Data

InQuest

Scripts and logs for "Analysis and Expoitation of Dynamic Pricing in the Public Cloud for ML Training", which is to appear at DISPA 2020

cs245-as2-public

Scala

training_on_a_dime

Model Performance Estimation and Explanation When Labels and A Few Features Shifts

SparseJointShift

DROP

Repository for tKDE Experiments

tKDC

Algorithms for compressing and merging large collections of sketches

sketchstore

parallel-lb-simulator

CrossTrainer: Practical Domain Adaptation with Loss Reweighting

crosstrainer

smol

supg

fast-tree

abae

Accelerating Approximate Aggregation Queries with Expensive Predicates (VLDB 21)

Automated Lower Bounds on the I/O Complexity of Computation Graphs

graphIO

Why Rust presentation at FutureTea, 3/13

futuretea-whyrust

Rust

ezmode

An iterative algorithm for selecting rare events in large, unlabeled datasets

Applying Willump design to deep feature synthesis

willump-dfs

fexipro-benchmarking

Situationally aWAre decodinG

macrobase-cpp

swag-python